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Echo chambers online?: Politically motivated selective exposure among Internet news users
Open accessAbstract
A review of research suggests that the desire for opinion reinforcement may play a more important role in shaping individuals’ exposure to online political information than an aversion to opinion challenge. The article tests this idea using data collected via a web-administered behavior-tracking study with subjects recruited from the readership of 2 partisan online news sites (N = 727). The results demonstrate that opinion-reinforcing information promotes news story exposure while opinion-challenging information makes exposure only marginally less likely. The influence of both factors is modest, but opinion-reinforcing information is a more important predictor. Having decided to view a news story, evidence of an aversion to opinion challenges disappears: There is no evidence that individuals abandon news stories that contain information with which they disagree. Implications and directions for future research are discussed.
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“Homophily in communication, the tendency of people to communicate with others having similar beliefs, is understood to lead to the formation of echo chambers which reinforce individual beliefs and fuel further increase in polarization.”
From Credibility of climate change denial in social media (2019) · cites this paper as Garrett, 2009
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“For example, homophily among liberals and conservatives in political blogs links (Adamic and Glance, 2005), i.e., the tendency of liberal and conservative blogs to link primarily within their separate communities, leads to echo chambers (Jasny et al., 2015;Garrett, 2009;Flaxman et al., 2016), and hence beliefs can be polarized due to such exposure to selective information (Bakshy et al., 2015).”
From Credibility of climate change denial in social media (2019) · cites this paper as Garrett, 2009
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“Furthermore, users show a tendency to favor information adhering to their beliefs and join groups formed around a shared narrative, that is, echo chambers (1, 14–18).”
From The echo chamber effect on social media (2021) · cites this paper as [15]
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“Estudios basados en encuestas encuentran que el efecto polarizador de la red no deriva de la tendencia de las cámaras de eco, sino más bien de la exposición transversal a los mensajes de personas con ideologías políticas opuestas (Bail y otros, 2018;Garrett, 2009).”
From Polarización, heterogeneidad política y redes sociales en México: un análisis comparativo de #PresidenteRompaElPacto, #FRENA y #RevocacionDeMandato en Twitter (2023) · cites this paper as Garrett, 2009
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“In social media, such polarized communication networks were observed in controversial debates ranging from political orientation [10, 11], US and French presidential elections [12], or street protests [13].”
From Modeling echo chambers and polarization dynamics in social networks (2020) · cites this paper as [13]
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Citations
Cites
A Theory of Cognitive Dissonance
Festinger, L. (1957) · doi:10.1515/9781503620766 · Cited by 24,241
Hierarchical Linear Models: Applications and Data Analysis Methods.
Longford, N. T., Bryk, A. S., & Raudenbush, S. W. (1993) · Contemporary Sociology A Journal of Reviews · doi:10.2307/2075823 · Cited by 18,773
A Theory of Cognitive Dissonance
Morvan, C., & O’Connor, A. (2017) · Macat Library eBooks · doi:10.4324/9781912282432 · Cited by 18,284
Hierarchical Linear Models: Applications and Data Analysis Methods
Davidian, M. (2003) · Journal of the American Statistical Association · doi:10.1198/jasa.2003.s288 · Cited by 13,820
Lord, C. G., Ross, L., & Lepper, M. R. (1979) · Journal of Personality and Social Psychology · doi:10.1037/0022-3514.37.11.2098 · Cited by 4,583
Christoph, V. F., Lazarfeld, P. F., Berelson, B., & Gaudet, H. (1945) · The American Catholic Sociological Review · doi:10.2307/3707538 · Cited by 1,732
Hearing the Other Side: Deliberative versus Participatory Democracy
Mutz, D. C. (2006) · doi:10.1017/cbo9780511617201 · Cited by 1,687
Hearing the Other Side: Deliberative versus Participatory Democracy
Mutz, D. C. (2006) · Choice Reviews Online · doi:10.5860/choice.44-2388 · Cited by 1,588
Media Use and Political Predispositions: Revisiting the Concept of Selective Exposure
Stroud, N. J. (2008) · Political Behavior · doi:10.1007/s11109-007-9050-9 · Cited by 1,154
Recent Research on Selective Exposure to Information
Frey, D. (1986) · Advances in experimental social psychology · doi:10.1016/s0065-2601(08)60212-9 · Cited by 820
Research works printed but not linked: 1
- Kohut, 2006, Online papers modestly boost newspaper readership: Maturing Internet news audience-broader than deep
Cited by
Sorted by citations
The spreading of misinformation online
Del Vicario, M., Bessi, A., Zollo, F., Petroni, F., Scala, A., Caldarelli, G., Stanley, H. E., & Quattrociocchi, W. (2016) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1517441113 · Cited by 2,407
The echo chamber effect on social media
Cinelli, M., De Francisci Morales, G., Galeazzi, A., Quattrociocchi, W., & Starnini, M. (2021) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.2023301118 · Cited by 2,092
Filter Bubbles, Echo Chambers, and Online News Consumption
Flaxman, S., Goel, S., & Rao, J. M. (2016) · Public Opinion Quarterly · doi:10.1093/poq/nfw006 · Cited by 1,992
Tweeting From Left to Right: Is Online Political Communication More Than an Echo Chamber?
Barberá, P., Jost, J. T., Nagler, J., Tucker, J. A., & Bonneau, R. (2015) · Psychological Science · doi:10.1177/0956797615594620 · Cited by 1,472
Media and Political Polarization
Prior, M. (2013) · Annual Review of Political Science · doi:10.1146/annurev-polisci-100711-135242 · Cited by 1,125
The echo chamber is overstated: the moderating effect of political interest and diverse media
Dubois, E., & Blank, G. (2018) · Information, Communication & Society · doi:10.1080/1369118x.2018.1428656 · Cited by 1,055
Ideological Segregation Online and Offline *
Gentzkow, M., & Shapiro, J. M. (2011) · The Quarterly Journal of Economics · doi:10.1093/qje/qjr044 · Cited by 980
Political communication in a high-choice media environment: a challenge for democracy?
Van Aelst, P., Strömbäck, J., Aalberg, T., Esser, F., de Vreese, C., Matthes, J., Hopmann, D., Salgado, S., Hubé, N., Stępińska, A., et al. (2017) · Annals of the International Communication Association · doi:10.1080/23808985.2017.1288551 · Cited by 974
Ideological Asymmetries and the Essence of Political Psychology
Jost, J. T. (2017) · Political Psychology · doi:10.1111/pops.12407 · Cited by 764
COVID-19 and vaccine hesitancy: A longitudinal study
Fridman, A., Gershon, R., & Gneezy, A. (2020) · PLoS ONE · doi:10.1371/journal.pone.0250123 · Cited by 697
Gollwitzer, A., Martel, C., Brady, W. J., Pärnamets, P., Freedman, I. G., Knowles, E. D., & Van Bavel, J. J. (2020) · Nature Human Behaviour · doi:10.1038/s41562-020-00977-7 · Cited by 609
Should we worry about filter bubbles?
Zuiderveen Borgesius, F. J., Trilling, D., Möller, J., Bodó, B., de Vreese, C. H., & Helberger, N. (2016) · Internet Policy Review · doi:10.14763/2016.1.401 · Cited by 541
Internet Research in Psychology
Gosling, S. D., & Mason, W. (2015) · Annual Review of Psychology · doi:10.1146/annurev-psych-010814-015321 · Cited by 458
Brundidge, J. (2010) · Journal of Communication · doi:10.1111/j.1460-2466.2010.01509.x · Cited by 471
Modeling echo chambers and polarization dynamics in social networks
Baumann, F., Lorenz-Spreen, P., Sokolov, I. M., & Starnini, M. (2020) · Physical Review Letters · doi:10.1103/physrevlett.124.048301 · Cited by 427
Echo chambers and viral misinformation: Modeling fake news as complex contagion
Törnberg, P. (2018) · PLoS ONE · doi:10.1371/journal.pone.0203958 · Cited by 477
Fletcher, R., & Nielsen, R. K. (2017) · Journal of Communication · doi:10.1111/jcom.12315 · Cited by 433
Misinformation in and about science
West, J. D., & Bergstrom, C. T. (2021) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1912444117 · Cited by 391
Social Media, Echo Chambers, and Political Polarization
Barberá, P. (2020) · Social Media and Democracy · doi:10.1017/9781108890960.004 · Cited by 373
Algorithmic inference, political interest, and exposure to news and politics on Facebook
Thorson, K., Cotter, K., Medeiros, M., & Pak, C. (2019) · Information Communication & Society · doi:10.1080/1369118x.2019.1642934 · Cited by 416
(Almost) Everything in Moderation: New Evidence on Americans' Online Media Diets
Guess, A. M. (2021) · American Journal of Political Science · doi:10.1111/ajps.12589 · Cited by 342
Political Discourse on Social Media: Echo Chambers, Gatekeepers, and the Price of Bipartisanship
Garimella, K., De Francisci Morales, G., Gionis, A., & Mathioudakis, M. (2018) · Proceedings of the 2018 World Wide Web Conference on World Wide Web - WWW '18 · doi:10.1145/3178876.3186139 · Cited by 335
Kitchens, B., Johnson, S. L., & Gray, P. (2020) · MIS Quarterly · doi:10.25300/misq/2020/16371 · Cited by 376
Kim, Y., Hsu, S.-H., & de Zúñiga, H. G. (2013) · Journal of Communication · doi:10.1111/jcom.12034 · Cited by 346
A Turn Toward Avoidance? Selective Exposure to Online Political Information, 2004-2008
Garrett, R. K., Carnahan, D., & Lynch, E. K. (2013) · Political Behavior · doi:10.1007/s11109-011-9185-6 · Cited by 311
Self-citationPartisan Paths to Exposure Diversity: Differences in Pro- and Counterattitudinal News Consumption
Garrett, R. K., & Stroud, N. J. (2014) · Journal of Communication · doi:10.1111/jcom.12105 · Cited by 308
Self-citationA New Era of Minimal Effects? A Response to Bennett and Iyengar
Holbert, R. L., Garrett, R., & Gleason, L. S. (2010) · Journal of Communication · doi:10.1111/j.1460-2466.2009.01470.x · Cited by 307
Self-citationHow digital media drive affective polarization through partisan sorting
Törnberg, P. (2022) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.2207159119 · Cited by 288
“perspectives (3, 61), choosing instead to self-segregate into”
BackgroundMisinformation, Disinformation, and Online Propaganda
Guess, A. M., & Lyons, B. A. (2020) · Social Media and Democracy · doi:10.1017/9781108890960.003 · Cited by 284
Preelection Selective Exposure
Knobloch-Westerwick, S., & Kleinman, S. (2012) · Communication Research · doi:10.1177/0093650211400597 · Cited by 199
Metzger, M. J., Hartsell, E. H., & Flanagin, A. J. (2020) · Communication Research · doi:10.1177/0093650215613136 · Cited by 272
Geschke, D., Lorenz, J., & Holtz, P. (2018) · British Journal of Social Psychology · doi:10.1111/bjso.12286 · Cited by 272
Emotional contagion in organizational life
Barsade, S. G., Coutifaris, C. V., & Pillemer, J. (2018) · Research in Organizational Behavior · doi:10.1016/j.riob.2018.11.005 · Cited by 308
Presenting diverse political opinions
Munson, S. A., & Resnick, P. (2010) · CHI Conference on Human Factors in Computing Systems · doi:10.1145/1753326.1753543 · Cited by 236
Feldman, L., Myers, T. A., Hmielowski, J. D., & Leiserowitz, A. (2014) · Journal of Communication · doi:10.1111/jcom.12108 · Cited by 230
Social influence and unfollowing accelerate the emergence of echo chambers
Sasahara, K., Chen, W., Peng, H., Ciampaglia, G. L., Flammini, A., & Menczer, F. (2021) · Journal of Computational Social Science · doi:10.1007/s42001-020-00084-7 · Cited by 211
Personal experiences bridge moral and political divides better than facts
Kubin, E., Puryear, C., Schein, C., & Gray, K. (2021) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.2008389118 · Cited by 209
Shin, J., Jian, L., Driscoll, K., & Bar, F. (2017) · New Media & Society · doi:10.1177/1461444816634054 · Cited by 203
Discourse architecture, ideology, and democratic norms in online political discussion
Freelon, D. (2013) · New Media & Society · doi:10.1177/1461444813513259 · Cited by 228
Winter, S., Metzger, M., & Flanagin, A. (2016) · Journal of Communication · doi:10.1111/jcom.12241 · Cited by 165
A Confirmation Bias View on Social Media Induced Polarisation During Covid-19
Modgil, S., Singh, R. K., Gupta, S., & Dennehy, D. (2021) · Information Systems Frontiers · doi:10.1007/s10796-021-10222-9 · Cited by 197
Jungherr, A. M., Rivero, G., & Gayo-Avello, D. (2020) · Cambridge University Press eBooks · doi:10.1017/9781108297820 · Cited by 227
Social media, sentiment and public opinions: Evidence from #Brexit and #USElection
Gorodnichenko, Y., Pham, T., & Talavera, O. (2021) · European Economic Review · doi:10.1016/j.euroecorev.2021.103772 · Cited by 172
Reducing Controversy by Connecting Opposing Views
Garimella, K., De Francisci Morales, G., Gionis, A., & Mathioudakis, M. (2017) · Proceedings of the Tenth ACM International Conference on Web Search and Data Mining · doi:10.1145/3018661.3018703 · Cited by 165
Measuring and moderating opinion polarization in social networks
Matakos, A., Terzi, E., & Tsaparas, P. (2017) · Data Mining and Knowledge Discovery · doi:10.1007/s10618-017-0527-9 · Cited by 164
An empirical examination of echo chambers in US climate policy networks
Jasny, L., Waggle, J., & Fisher, D. R. (2015) · Nature Climate Change · doi:10.1038/nclimate2666 · Cited by 227
Seeking and avoiding intergroup contact: Future frontiers of research on building social integration
Паолини, С., Harwood, J., Hewstone, M., & Neumann, D. L. (2018) · Social and Personality Psychology Compass · doi:10.1111/spc3.12422 · Cited by 175
Automating the News: How Personalized News Recommender System Design Choices Impact News Reception
Beam, M. A. (2014) · Communication Research · doi:10.1177/0093650213497979 · Cited by 159
Google search patterns suggest declining interest in the environment
McCallum, M. L., & Bury, G. W. (2013) · Biodiversity and Conservation · doi:10.1007/s10531-013-0476-6 · Cited by 158
Does online technology make us more or less sociable? A preliminary review and call for research
Waytz, A., & Gray, K. (2018) · Perspectives on Psychological Science · doi:10.1177/1745691617746509 · Cited by 157
Echo chamber and trench warfare dynamics in online debates
Karlsen, R., Steen-Johnsen, K., Wollebæk, D., & Enjolras, B. (2017) · European Journal of Communication · doi:10.1177/0267323117695734 · Cited by 154
Right-wing populism, social media and echo chambers in Western democracies
Boulianne, S., Koc-Michalska, K., & Bimber, B. (2020) · New Media & Society · doi:10.1177/1461444819893983 · Cited by 153
Quantifying echo chamber effects in information spreading over political communication networks
Cota, W., Ferreira, S. C., Pastor‐Satorras, R., & Starnini, M. (2019) · LA Referencia (Red Federada de Repositorios Institucionales de Publicaciones Científicas) · Cited by 152
Tweeting Apart: Applying Network Analysis to Detect Selective Exposure Clusters in Twitter
Himelboim, I., Smith, M. A., & Shneiderman, B. (2013) · Communication Methods and Measures · doi:10.1080/19312458.2013.813922 · Cited by 158
News Audiences Revisited: Theorizing the Link Between Audience Motivations and News Consumption
Lee, A. M. (2013) · Journal of Broadcasting & Electronic Media · doi:10.1080/08838151.2013.816712 · Cited by 148
Quantifying echo chamber effects in information spreading over political communication networks
Cota, W., Ferreira, S. C., Pastor-Satorras, R., & Starnini, M. (2019) · EPJ Data Science · doi:10.1140/epjds/s13688-019-0213-9 · Cited by 146
Influencing climate change attitudes in the United States: A systematic review and meta-analysis
Rode, J. B., Dent, A. L., Benedict, C. N., Brosnahan, D., Martinez, R. L., & Ditto, P. H. (2021) · Journal of Environmental Psychology · doi:10.1016/j.jenvp.2021.101623 · Cited by 164
Rumors and factitious informational blends: The role of the web in speculative politics
Rojecki, A., & Meraz, S. (2014) · New Media & Society · doi:10.1177/1461444814535724 · Cited by 144
Kteily, N., Sheehy-Skeffington, J. A., & Ho, A. K. (2016) · Journal of Personality and Social Psychology · doi:10.1037/pspp0000097 · Cited by 155
Selective Exposure and Reinforcement of Attitudes and Partisanship Before a Presidential Election
Knobloch-Westerwick, S. (2012) · Journal of Communication · doi:10.1111/j.1460-2466.2012.01651.x · Cited by 127
Miranda, S. M., Young, A., & Yetgin, E. (2016) · MIS Quarterly · doi:10.25300/misq/2016/40.2.02 · Cited by 140
News from the Other Side: How Topic Relevance Limits the Prevalence of Partisan Selective Exposure
Mummolo, J. (2016) · The Journal of Politics · doi:10.1086/685584 · Cited by 137
Encouraging Reading of Diverse Political Viewpoints with a Browser Widget
Munson, S. A., Lee, S., & Resnick, P. (2021) · Proceedings of the International AAAI Conference on Web and Social Media · doi:10.1609/icwsm.v7i1.14429 · Cited by 136
Burbano, V. (2020) · Management Science · doi:10.1287/mnsc.2019.3562 · Cited by 136
Nam, H. H., Jost, J. T., & Bavel, J. J. V. (2013) · PLoS ONE · doi:10.1371/journal.pone.0059837 · Cited by 135
Leung, D. K. K., & Lee, F. L. F. (2014) · The International Journal of Press/Politics · doi:10.1177/1940161214530787 · Cited by 135
Generative Echo Chamber? Effect of LLM-Powered Search Systems on Diverse Information Seeking
Sharma, N., Liao, Q. V., & Xiao, Z. (2024) · Proceedings of the CHI Conference on Human Factors in Computing Systems · doi:10.1145/3613904.3642459 · Cited by 132
“Other researchers were concerned about the afordances of technologies for people to selectively curate their own information environment, such as by following only or mostly like-minded others on social media platforms [2, 8] or limiting the diversity of the sources for one’s news feed [18].”
BackgroundI Shield Myself From Thee: Selective Avoidance on Social Media During Political Protests
Zhu, Q., Škorić, M. M., & Shen, F. (2016) · Political Communication · doi:10.1080/10584609.2016.1222471 · Cited by 151
Social media and Umbrella Movement: insurgent public sphere in formation
Lee, P. S. N., So, C. Y. K., & Leung, L. W. (2015) · Chinese Journal of Communication · doi:10.1080/17544750.2015.1088874 · Cited by 146
Selective exposure shapes the Facebook news diet
Cinelli, M., Brugnoli, E., Schmidt, A. L., Zollo, F., Quattrociocchi, W., & Scala, A. (2020) · PLOS ONE · doi:10.1371/journal.pone.0229129 · Cited by 130
Kim, Y., & Kim, Y. (2019) · Computers in Human Behavior · doi:10.1016/j.chb.2019.05.022 · Cited by 148
Quarantined! Examining the Effects of a Community-Wide Moderation Intervention on Reddit
Chandrasekharan, E., Jhaver, S., Bruckman, A., & Gilbert, E. (2022) · ACM Transactions on Computer-Human Interaction · doi:10.1145/3490499 · Cited by 129
The Unified Framework of Media Diversity: A Systematic Literature Review
Löecherbach, F., Möller, J. E., Trilling, D., & van Atteveldt, W. (2020) · Digital Journalism · doi:10.1080/21670811.2020.1764374 · Cited by 129
Facts and Where to Find Them: Empirical Research on Internet Platforms and Content Moderation
Keller, D., & Leerssen, P. (2020) · Data Archiving and Networked Services (DANS) · doi:10.1017/9781108890960
Persistent interaction patterns across social media platforms and over time
Avalle, M., Marco, N. D., Etta, G., Sangiorgio, E., Alipour, S., Bonetti, A., Alvisi, L., Scala, A., Baronchelli, A., Cinelli, M., et al. (2024) · Nature · doi:10.1038/s41586-024-07229-y · Cited by 169
Sülflow, M., Schäfer, S., & Winter, S. (2018) · New Media & Society · doi:10.1177/1461444818791520 · Cited by 137
Impact of social media on opinion polarization in varying times
Lee, F. L. F. (2016) · Communication and the Public · doi:10.1177/2057047315617763 · Cited by 134
Iandoli, L., Primario, S., & Zollo, G. (2021) · Technological Forecasting and Social Change · doi:10.1016/j.techfore.2021.120924 · Cited by 122
Combating COVID-19 fake news on social media through fact checking: antecedents and consequences
Schuetz, S. W., Sykes, T. A., & Venkatesh, V. (2021) · European Journal of Information Systems · doi:10.1080/0960085x.2021.1895682 · Cited by 131
Polarization and social media: A systematic review and research agenda
Arora, S. D., Singh, G. P., Chakraborty, A., & Maity, M. (2022) · Technological Forecasting and Social Change · doi:10.1016/j.techfore.2022.121942 · Cited by 163
Social Media, Sentiment and Public Opinions: Evidence from #Brexit and #USElection
Gorodnichenko, Y., Pham, T., & Talavera, O. (2018) · National Bureau of Economic Research · doi:10.3386/w24631 · Cited by 115
Social Media Polarization and Echo Chambers in the Context of COVID-19: Case Study
Jiang, J., Ren, X., & Ferrara, E. (2021) · JMIRx Med · doi:10.2196/29570 · Cited by 162
Siegel, A. A. (2020) · Cambridge University Press eBooks · doi:10.1017/9781108890960.005 · Cited by 123
Bright, J. (2018) · Journal of Computer-Mediated Communication · doi:10.1093/jcmc/zmx002 · Cited by 207
Resnick, P., Garrett, R., Kriplean, T., Munson, S. A., & Stroud, N. J. (2013) · ACM Conference on Computer Supported Cooperative Work (CSCW) · doi:10.1145/2441955.2441981 · Cited by 112
Self-citationKobayashi, T. (2010) · Human Communication Research · doi:10.1111/j.1468-2958.2010.01388.x · Cited by 111
Digital Technologies and Selective Exposure: How Choice and Filter Bubbles Shape News Media Exposure
Cardenal, A. S., Paredes, C. A., Galais, C., & Pérez–Montoro, M. (2019) · The International Journal of Press/Politics · doi:10.1177/1940161219862988 · Cited by 110
Zerback, T., & Fawzi, N. (2016) · New Media & Society · doi:10.1177/1461444815625942 · Cited by 109
New Media and Political Marketing in the United States: 2012 and Beyond
Towner, T. L., & Dulio, D. A. (2012) · Journal of Political Marketing · doi:10.1080/15377857.2012.642748 · Cited by 108
Adapting to party lines: the effect of party affiliation on attitudes to immigration
Harteveld, E., Kokkonen, A., & Dahlberg, S. (2017) · West European Politics · doi:10.1080/01402382.2017.1328889 · Cited by 111
Youth online activity and exposure to diverse perspectives
Kahne, J. E., Middaugh, E., Lee, N., & Feezell, J. T. (2011) · New Media & Society · doi:10.1177/1461444811420271 · Cited by 120
Schulz, A. M., & Roessler, P. (2012) · International Journal of Public Opinion Research · doi:10.1093/ijpor/eds022 · Cited by 102
Political Discourse on Social Media: Echo Chambers, Gatekeepers, and the Price of BipartisanshipPreprint
Garimella, K., Morales, G. D. F., Gionis, A., & Mathioudakis, M. (2018) · arXiv (Cornell University) · doi:10.48550/arxiv.1801.01665 · Cited by 101
Kwon, K. H., Moon, S.-I., & Stefanone, M. A. (2015) · Quality & Quantity · doi:10.1007/s11135-014-0078-8 · Cited by 100
Fake News in Social Media: Bad Algorithms or Biased Users?
Zimmer, F., Scheibe, K., Stock, M., & Stock, W. G. (2019) · DOAJ (DOAJ: Directory of Open Access Journals) · doi:10.1633/jistap.2019.7.2.4 · Cited by 123
No echo in the chambers of political interactions on Reddit
De Francisci Morales, G., Monti, C., & Starnini, M. (2021) · Scientific Reports · doi:10.1038/s41598-021-81531-x · Cited by 98
Politically Motivated Selective Exposure and Perceived Media Bias
Barnidge, M., Gunther, A. C., Kim, J., Hong, Y., Perryman, M. R., Tay, S. K., & Knisely, S. (2017) · Communication Research · doi:10.1177/0093650217713066 · Cited by 96
Peters, C., & Schrøder, K. C. (2018) · Journal of Communication · doi:10.1093/joc/jqy060 · Cited by 118
Seargeant, P., & Tagg, C. (2018) · Discourse Context & Media · doi:10.1016/j.dcm.2018.03.005 · Cited by 98
Liao, Q. V., & Fu, W. (2013) · CHI Conference on Human Factors in Computing Systems · doi:10.1145/2470654.2481326 · Cited by 92
Metadata
- Authors
- Garrett, R. K.
- Affiliations
- The Ohio State University (US)
- Corresponding author
- Garrett, R. Kelly
- ORCID
- Garrett, R. Kelly
- Venue
- Journal of Computer-Mediated Communication
- Publisher
- Oxford University Press (OUP)
- Published
- 2009-01
- Volume
- 14
- Issue
- 2
- Pages
- 265-285
- ISSN
- 1083-6101 (ISSN-L)
- OpenAlex
- W2137809006
- Cited by
- 1,040
- References
- 27
- Citations by year
- 2026: 64 · 2025: 86 · 2024: 89 · 2023: 89 · 2022: 104 · 2021: 102 · 2020: 120 · 2019: 93 · 2018: 62 · 2017: 50 · 2016: 38 · 2015: 33 · 2014: 29 · 2013: 38 · 2012: 16
- FWCI
- 45.29
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Locations
- Journal of Computer-Mediated Communication (publishedVersion)
- Topics
- Social Sciences › Sociology and Political Science › Media Influence and Politics
- Social Sciences › Communication › Social Media and Politics
- Social Sciences › Communication › News Media Framing and Political Communication
- Keywords
- selective exposure, echo chambers, online news, political information, political polarization, news avoidance
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
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